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Senior Data Engineer Wealth Management Experience: 68 Years Employment Type: Full-Time Location: Chennai (Work from Office 5 Days/Week) Shift time : 1 to 10pm Domain: Wealth Management / Financial Services Job Summary We are seeking a Senior Data Engineer with 68 years of experience in building enterprise-scale data platforms for Wealth Management solutions. The ideal candidate will have strong expertise in Python, Azure Data Services, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Data Factory, Azure Logic Apps, Azure Databricks, PySpark, SQL, PostgreSQL, MS SQL Server, Azure DevOps, Docker, and CI/CD. The role involves designing scalable cloud-native data platforms, data warehouses, ETL/ELT pipelines, and analytics solutions while ensuring security, governance, and high performance. Key Responsibilities Design, develop and optimize scalable ETL/ELT pipelines using Python, PySpark and Azure Data Services.Build end-to-end cloud data solutions using Azure Synapse, ADLS Gen2, Azure Data Factory, Azure Logic Apps and Azure Databricks.Design enterprise Data Lakes, Data Warehouses and Data Marts.Develop dimensional models including Star Schema, Snowflake Schema, Fact and Dimension tables.Integrate structured, semi-structured and unstructured data from multiple enterprise sources.Develop advanced SQL/T-SQL and PL/SQL procedures, views and performance tuning.Implement CI/CD using Azure DevOps, Git and Docker.Ensure data governance, security, compliance and monitoring.Collaborate with Data Scientists, Data Analysts, BI Developers and business stakeholders.Support production, troubleshoot issues and mentor junior engineers.Required Technical Skills Python, PySpark, Apache Spark, SQL, T-SQL, PL/SQLAzure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage (Gen2), Azure Databricks, Azure Logic AppsPostgreSQL, MS SQL Server, Azure SQL Database, Snowflake (preferred)Delta Lake, Apache Kafka (preferred)Azure DevOps, Git, Docker, CI/CDPower BI, Data Modeling, ETL/ELT, Data WarehousingWealth Management Experience Client OnboardingPortfolio ManagementInvestment & Performance ReportingTrading & Market DataCompliance & Regulatory ReportingAccount ManagementFinancial Advisory PlatformsQualifications Bachelor's/Master's in Computer Science, IT or related field.68 years of Data Engineering experience.Strong Azure cloud experience.Excellent SQL optimization and data warehouse knowledge.Agile/Scrum experience.Azure DP-203 certification preferred. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.